Flow Cytometry Panel-Reactive Antibody Screening of Anti-HLA Antibodies in the Waiting List Significantly Reduces the Occurrence of Acute Rejection After Kidney Transplantation.

INTRODUCTION: The presence of preformed HLA-reactive antibodies in recipient serum before transplantation has long been recognized as a prominent risk factor for a generally worse graft outcome. Screening and identification of HLA antibodies can be used to stratify patients into high- and low-risk categories. MATERIALS AND METHODS: We determined patients' anti-HLA antibodies using flow cytometry panel-reactive antibody (flowPRA) screening, specifying more than 5% after positive screening. According to the results of the screening test, patients were allocated to the induction immunosuppressive protocol according to the actual immunologic risk. RESULTS: In the group of 78 patients, screening with flowPRA of anti-HLA antibodies was done twice a year. Patients were divided into 2 groups of immunologic risk (low or medium), and we chose the induction immunosuppressive protocol according to the risk. Stratification of the risk was correct, because the only predictor for development of acute rejection in the monitored period of 12 months was delayed graft function (odds ratio 33.2501; 95% confidence interval 10.0095-110.4508; P < .0001). The occurrence of acute rejection upon implementing the screening was reduced in our transplant center from 44% to 19% (P < .0001). No difference was recorded in the 12-month survival of grafts and patients according to the applied induction immunosuppressive protocol. CONCLUSION: We confirmed significantly reduced occurrence of acute rejection in the follow-up period of 12 months by using individualized induction according to flowPRA screening of anti-HLA antibodies. FlowPRA screening represents a suitable alternative for screening and specification of anti-HLA antibodies in case the Luminex methodology is unavailable.

Occurrence of malignancies after kidney transplantation in adults: Slovak multicenter experience.

Malignancies are one of the three major causes of renal recipient´s death with a functioning graft after cardiovascular diseases and infections. Among the variety of risk factors, including conventional and specific to transplant recipients, the duration of immunosuppressive therapy, the intensity of therapy, and the type of immunosuppressive agent all have an impact on development of post-transplant malignancy. The aim of our retrospective study was to document the incidence, the type of malignancies, the patient/graft survival in the group of kidney transplant recipients in Slovak Republic, and to identify the factors which influenced the outcome. We analyzed the data of 1421 patients who underwent renal transplantation from deceased or living donors in the period from 2007 to 2015 in the Slovak transplant centers. The incidence of malignant tumors was 6%, the malignancy was diagnosed in 85 patients at the age of 54.1 ± 9.8 years, more frequently in men (68.2 %; P < 0.0001). The mean time of malignancy occurrence was 45 months after transplantation. The most frequent malignancies were skin cancers- basal cell carcinoma (BCC) in 17.6%, squamous cell carcinoma (SCC) in 8.2%, and malignant melanoma (MM) in 2.4% of patients, followed by non-skin tumors such as renal cell carcinoma (RCC) in 16.5%, cancer of colon in 12.9%, prostatic cancer in 9.4%, breast cancer in 9.4%, cancer of lung in 7.1%, post-transplant lymphoproliferative disease (PTLD) in 2.4%, cancer of urine bladder in 2.4%, and cancer of sublingual gland in 1.17% of patients. Surgical treatment was used in 40% of patients, chemotherapy in 7.1%, radiotherapy in 2.4%, treatment with biological agents in 15.3%, combined therapy in 29.4% and palliative treatment in 5.9% of patients. 55.3% of patients underwent conversion from other immunosuppressive agents into mTORi at the time of malignancy occurrence. The remission was achieved in 48.2% of patients, 28.2% of patients were in the oncology treatment in the end of the year 2015, and 23.5% of patients died. There was no difference in the kidney function at the time of malignancy occurrence (s-creat 133.7 ± 59.8 µmol/l) and one year later (s-creat 131.1 ± 47.9 µmol/l) (P = 0.7768). The patients after successful treatment more frequently suffered from BCC (P = 0.0140), did not undergo palliative treatment (P = 0.0033), but were more frequently treated surgically (P < 0.0001).

Incidence of Diabetes Mellitus After Kidney Transplantation in Slovakia: Multicentric, Prospective Analysis.

BACKGROUND: The incidence rate of post-transplant diabetes mellitus (PTDM) after kidney transplantation (KT) is 5% to 40%. The objective of this analysis was to identify the risk factors of PTDM after KT in the Slovak Republic (SR). METHODS: In the group of 133 patients/non-diabetics, we identified the risk factors of PTDM in the monitored period of 12 months from transplantation. RESULTS: The incidence of PTDM in the SR in 2014 was 38.3%. By logistic regression, we discovered that the age at the time of KT [odds ratio, 1.0885; 95% CI, 1.0222-1.1592; P = .0082], the value of body mass index (BMI) at the time of KT [odds ratio, 1.4606; 95% CI, 1.0099-2.1125; P = .0442], and the value of insulin resistance index (homeostatic model assessment for insulin resistance) at the time of KT [odds ratio, 2.5183; 95% CI, 1.7119-3.4692; P < .0001] represented predictive factors of PTDM. The independent risk factors of PTDM in our group were age at the time of KT of more than 60 years [HR 0.3871; 95% CI 0.1659-1.7767; P = .0281], waist circumference at the time of KT in men more than 94 cm and in women more than 80 cm [HR, 3.4833; 95% CI, 1.2789-9.4878 (P = .0146)], BMI at the time of KT [HR 3.0011; 95% CI 1.0725-8.3977 (P = .0363)], and triacylglycerols at the time of KT more than 1.7 mmol/L [HR, 2.9763; 95% CI, 1.0141-8.7352; P = .0471]. CONCLUSIONS: In the group of Slovak patients after kidney transplantation, the dominating risk factor for PTDM development was insulin resistance prior to KT.